Unknown

Dataset Information

0

Differentiation of cancer cell type and phenotype using quantum dot-gold nanoparticle sensor arrays.


ABSTRACT: We demonstrate rapid and efficient sensing of mammalian cell types and states using nanoparticle-based sensor arrays. These arrays are comprised of cationic quantum dots (QDs) and gold nanoparticles (AuNPs) that interact with cell surfaces to generate distinguishable fluorescence responses based on cell surface signatures. The use of QDs as the recognition elements as well as the signal transducers presents the potential for direct visualization of selective cell surface interactions. Notably, this sensor is unbiased, precluding the requirement of pre-knowledge of cell state biomarkers and thus providing a general approach for phenotypic profiling of cell states, with additional potential for imaging applications.

SUBMITTER: Liu Q 

PROVIDER: S-EPMC3669636 | biostudies-literature | 2013 Jul

REPOSITORIES: biostudies-literature

altmetric image

Publications

Differentiation of cancer cell type and phenotype using quantum dot-gold nanoparticle sensor arrays.

Liu Qian Q   Yeh Yi-Cheun YC   Rana Subinoy S   Jiang Ying Y   Guo Lin L   Rotello Vincent M VM  

Cancer letters 20120926 2


We demonstrate rapid and efficient sensing of mammalian cell types and states using nanoparticle-based sensor arrays. These arrays are comprised of cationic quantum dots (QDs) and gold nanoparticles (AuNPs) that interact with cell surfaces to generate distinguishable fluorescence responses based on cell surface signatures. The use of QDs as the recognition elements as well as the signal transducers presents the potential for direct visualization of selective cell surface interactions. Notably, t  ...[more]

Similar Datasets

| S-EPMC2898766 | biostudies-literature
| S-EPMC2935673 | biostudies-literature
| S-EPMC4014981 | biostudies-other
| S-EPMC3814187 | biostudies-literature
| S-EPMC5423724 | biostudies-literature
| S-EPMC3463426 | biostudies-other
| S-EPMC5103289 | biostudies-literature
| S-EPMC2246057 | biostudies-literature